$237,500 – $321,500
Listed on Intuit’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a team of AI scientists building credit risk and fraud detection models for Intuit's consumer lending and banking products, protecting hundreds of thousands of customers while staying hands-on with complex modeling problems. This role suits experienced ML leaders who want to own high-impact risk infrastructure across multiple business verticals and grow both the team and themselves.
Our summary, not Intuit’s wording. The full posting is on their site.
Skills this role names
- Amazon Redshift
- AWS SageMaker
- Databricks
- Deep Learning
- Machine Learning
- Natural Language Processing
- Python
- Reinforcement Learning
- SQL
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What they ask for
Required
- Advanced degree in Computer Science, Data Science, AI, Mathematics, Statistics, Econometrics, Physics or related quantitative field
- 8+ years of AI Science or Machine Learning experience
- 2+ years leading or managing AI science or data science teams with delivered data-driven products
- Python and SQL expertise
- Fintech experience in credit risk and/or fraud risk modeling
- Understanding of payment systems, money movement, banking, and lending
- Hands-on expertise with deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and NLP
- Experience with credit bureau, tax, cashflow, identity, and device/behavioral data